Classes | |
| class | analyse_result_blob |
| An analyse result policy for the hypothesis filter. More... | |
| class | analyse_result_mean |
| An analyse result policy for the hypothesis filter. More... | |
| class | condensation |
| a picking policy. More... | |
| class | correlation_observer2D |
| Performs a cross-correlation product on a part of the current image and a kernel image. More... | |
| class | hypothesis |
| interface class of an hypothesis More... | |
| class | hypothesis2D |
| 2-D location of an object More... | |
| class | hypothesis3D |
| Hold the 3-D parameters of an object location. More... | |
| class | hypothesis_filter_data |
| Contains the data shared by the different policies of hypothesis filter. More... | |
| class | hypothesis_filter |
| The host class, center of the hypothesis filter architecture. More... | |
| class | image_loader |
| A policy (ref Modern C++ Design Andrei Alexandrescu) for hypothesis_filter that will take care to load a sequence of images if the image names of the sequence follows the naming convention base_nameXXXX.png, X being a digit. More... | |
| class | no_compensation |
| default compensation policy. More... | |
| class | p_condensation |
| a picking policy More... | |
Typedefs | |
| typedef boost::numeric::ublas::vector< float > | Point |
| typedef boost::numeric::ublas::vector< float > | Point |
| typedef boost::numeric::ublas::vector<float> mimas::hf::Point |
Definition at line 9 of file no_compensation.h.
| typedef boost::numeric::ublas::vector<float> mimas::hf::Point |
Definition at line 26 of file hypothesis_filter.h.